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Jack Hanlon

AI Product Leader, Meta · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

executivefounderacademicoperator@JHanlon ↗LinkedIn ↗

Jack Hanlon previously served as Vice President of Feeds, AI, Search, and Data at Reddit and Vice President of Analytics at Jet.com leading up to and through its acquisition by Walmart. Prior to that, he co-founded the programmatic advertising platform Kinetic Social and was featured on the Forbes 30 Under 30 list.

12statements → 5claims → 1claims resolved → 3.75/5average certainty → 1.5/5average debate potential → 4.1/5argument clarity · the sources → 1said about them ↓

0 supported 1 partly supported 0 contradicted 4 not checkable as stated how the 5 claims stand · each chip opens the sources

1 prediction · 4 assertions · 1 opinion · 1 insight · 5 disclosures · every statement was checked. The prediction and assertions are the 5 claims: statements the public record can support or contradict. 1 is resolved, and 4 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Jack argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Argument clarity: do they answer the question? how? →

4.1 / 5 directness 4.2 · coherence 4.2 · precision 4 · compression 3.4

answered every one of 9 assessed questions directly

This is a score against a rubric. It is not a rank. Every host question → answer exchange is scored with names hidden on directness, coherence, precision and compression, 1–5 each, on meaning alone: disfluencies are ignored, and only raw unedited episodes count. This is the score that measures thought. Every scored exchange, scores shown → · The rubric and its checks →

How they sound: speaking style how? →

233 words/min while actually speaking · 29 um and uh per 1k words

Measured by listening to the audio itself: 4,516 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Jack Hanlon said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Insight
Data startups push horizontal platforms, but enterprise buyers want single features
“The companies I see, it feels like a number of the startups I see in the space get pressure to expand to be more horizontal solutions. And then frankly, like we want them for one thing, but not for the three other things that they want to do.”
Jack Hanlon Mar 15, 2021 ▶ 13:45 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Assertion Partly supported
Google, Facebook, Microsoft, and OpenAI used Reddit data for AI models
“Google, Facebook, Microsoft, and OpenAI all used Reddit's data to train their conversational AI models.”
Jack Hanlon Mar 15, 2021 ▶ 17:52 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Opinion
Hanlon: AWS Redshift's core architecture has fallen behind competitors
“Redshift feels way behind, whereas a number of years ago, it was fantastic. The core architecture there has not kept up.”
Jack Hanlon Mar 15, 2021 ▶ 23:10 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Assertion Not checkable as stated
Hanlon: Reddit ingested 55-60B daily events managed by one person in 2019
“I came in, we were doing probably about 55 or sixty billion events a day into a data warehouse that one person was managing.”
Jack Hanlon Mar 15, 2021 ▶ 8:44 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Disclosure
Reddit's 2021 home feed will include recommendations beyond user subscriptions
“You'll see this year that the home feed and people's home feed will be breaking the subscription wall and having recommendations in there for people.”
Jack Hanlon Mar 15, 2021 ▶ 19:36 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Assertion Not checkable as stated
Hanlon: Reddit grew from around 600 to 800 employees in 14 months
“When I got to Reddit overall, I'd say Reddit was maybe 600 people 14 months ago. Right now, oh, maybe 800.”
Jack Hanlon Mar 15, 2021 ▶ 7:34 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Prediction Not checkable as stated
Hanlon: Reddit's data team will probably reach ~120 people by end of 2021
“By the end of the year, the data organization I just described will be probably the third largest organization at Reddit with a 120 or so people.”
Jack Hanlon Mar 15, 2021 ▶ 7:43 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Disclosure
Reddit runs production on AWS and analytics/ML on GCP
“From the top view, I'd say we're AWS prod with originally a lot of Postgres For a variety of prod systems, we actually transit almost all that stuff over to GCP, and we use TensorFlow and BigQuery for our analytics and our model concerns”
Jack Hanlon Mar 15, 2021 ▶ 9:36 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Disclosure
Reddit isolates malformed data events in an automated penalty box
“You can do stuff for event validation to say, ah, events that don't match certain things get dropped and sort of get put in the penalty box, which we've done and said, okay, developers, you can't actually join these to anything. You can't actually use them if …”
Jack Hanlon Mar 15, 2021 ▶ 15:32 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Disclosure
Reddit is leaning heavily into becoming a Kafka shop for streaming
“So, you know, I think we're ending up leaning heavily into being a Kafka shop, building more of the stuff into base plate, into more of these core services”
Jack Hanlon Mar 15, 2021 ▶ 17:00 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Assertion Not checkable as stated
Jack Hanlon: 2020 was the first year every Reddit surface implemented personalization
“Last year was the first year that every Reddit surface saw personalization.”
Jack Hanlon Mar 15, 2021 ▶ 19:00 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
Disclosure
Hanlon: Reddit uses a hub-and-spoke model for data science
“Data science is hub and spoke. So so effectively that is all of those folks report into the director of data science, who's, who's one of my team members and, but they actually, when we're in a, when we're in an office setting, they sit with the downstream tea…”
Jack Hanlon Mar 15, 2021 ▶ 4:38 Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)

The other half of the tape: Jack Hanlon's own voice is left out of every number here. Other people bring the name up 1 time in 1 episode on the MAD Podcast. every mention, with the transcript →

Who brings them up most Matt Turck 1

Every mention by year

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2021 1 mention in 1 episode

Appearances (1)

EpisodeDateSpeaking time
Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark) Mar 15, 2021 22m
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